Estimation of trip travel time distribution using a generalized Markov chain approach

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• 作者：Zhenliang Ma^a ; ^b ; ^{zma.cnsd@gmail.com} ; Haris N. Koutsopoulos^b ; ^{h.koutsopoulos@neu.edu} ; Luis Ferreira^a ; ^{l.ferreira@uq.edu.au} ; Mahmoud Mesbah^a ; ^{mahmoud.mesbah@uq.edu.au}
• 关键词：Trip travel time distribution ; Markov chain ; Conditional dependence ; Transition probability estimation
• 刊名：Transportation Research Part C: Emerging Technologies
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：74
• 期：Complete
• 页码：1-21
• 全文大小：4782 K
• 卷排序：74

文摘

Proposed an approach to estimate trip travel time distribution (TTD) from link TTDs. The approach considers conditional dependence between link travel times. The transition probability was formulated as a function of explanatory covariates. The approach was demonstrated in a transit case study using AVL data. The approach is conceptually more general and less sensitive to data availability.